code: def train_model_from_args(args):
      """
      Just converts from an ``argparse.Namespace`` object to string paths.
      """
      train_model_from_file(
          args.param_path,
          args.serialization_dir,
          args.overrides,
          args.file_friendly_logging,
          args.recover,
      )
  
imports: from __future__ import with_statement
  from __future__ import absolute_import
  import argparse
  import json
  import logging
  import os
  import re
  import torch
  from allennlp.commands.evaluate import evaluate
  from allennlp.commands.subcommand import Subcommand
  from allennlp.common.checks import ConfigurationError, check_for_gpu
  from allennlp.common import Params
  from allennlp.common.util import prepare_environment, prepare_global_logging, get_frozen_and_tunable_parameter_names
  from allennlp.data import Vocabulary
  from allennlp.data.instance import Instance
  from allennlp.data.dataset_readers.dataset_reader import DatasetReader
  from allennlp.data.iterators.data_iterator import DataIterator
  from allennlp.models.archival import archive_model, CONFIG_NAME
  from allennlp.models.model import Model, _DEFAULT_WEIGHTS
  from allennlp.training.trainer import Trainer
  from io import open
label_desc: Use image node_id 1 for calling a global function with example usage: train_model_from_args(args) without return types